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Pioneering Cognitive EdTech R&D since 2023Educational Pilot Cohorts Open

Where Cognitive Semantics Meets Generative Intelligence.

Moving beyond rote memorization. An adaptive acquisition engine grounded in Diane Larsen-Freeman's Form-Meaning-Use (FMU) framework and Conceptual Metaphor Theory.

Institutional pilots prioritized. No spam, ever.

Explore Pedagogy Paper
  • Form-Meaning-Use
  • Conceptual Metaphor Theory
  • CEFR A1 – C2
  • Usage-Based Acquisition

Technical Architecture

Multi-agent intelligence, orchestrated for pedagogy.

Each learner turn is routed through specialized agents built on Anthropic's Claude family. Depth where diagnosis matters, speed where momentum matters, and a safety gate in between.

  1. 01Learner discourse
  2. 02Orchestrator
  3. 03Sonnet · Haiku
  4. 04Alignment gate
  5. 05Scaffolded feedback
01

Claude 3.5 Sonnet

Diagnostic Reasoning Core

Deep multi-turn discourse analysis. Diagnoses why a learner's conceptual metaphor or register breaks pragmatically, rather than generating simplistic grammar corrections.

Scope
Discourse-level
Output
Causal diagnosis
02

Claude 3.5 Haiku

Low-Latency Dynamic Scaffolding

Real-time, sub-second formative feedback and adaptive hints mapped dynamically to CEFR progression stages (A1 to C2).

Latency
< 800ms
Mapping
CEFR A1 – C2
03

Evaluation Pipeline

Pedagogical Safety & Alignment

Context-bounded evaluation pipelines preventing hallucinated linguistic rules before any feedback reaches the learner.

Guard
Rule grounding
Mode
Context-bounded

The FMU Dimension Engine

Every utterance, analyzed in three dimensions.

Larsen-Freeman's framework treats grammar not as rules to memorize but as a dynamic system of form, meaning, and use. Select a dimension to see how the engine reasons about a single learner sentence.

learner_turn.analysisB1 · Academic email

Learner input

Dear Professor, I am agree with your idea, because it gave me a light. See you!

Meaning diagnosis

The learner correctly activates UNDERSTANDING IS SEEING, but realizes it with an L1 collocation. In English the metaphor surfaces as "shed light on", not "give a light" (which evokes lighting a cigarette).

Scaffolded revision

gave me a lightit shed light on the problem for me

Research & Early Cohorts

Built for institutions that take acquisition seriously.

Our pilot cohorts pair the engine with practicing educators to validate outcomes against established applied linguistics benchmarks.

  • Language Institutes

    Cohort-level analytics and CEFR-aligned progression for instructor-led programs.

  • University Language Centers

    Research-grade discourse diagnostics for EAP, ESP, and applied linguistics departments.

  • Independent Scholars

    Rigorous, self-directed acquisition for serious learners pursuing C1 – C2 mastery.

Cohort metric previewPilot · 2025 – 26

4.8x

Retention on nuanced syntactic forms

vs. baseline drill-based instruction

<800ms

Adaptive scaffolding response time

p95 formative feedback latency

Preliminary figures from internal pilot cohorts. Findings are not yet peer-reviewed and are shared for transparency with prospective research partners.